4 edition of **Randomized speed-ups in parallel computation.** found in the catalog.

- 87 Want to read
- 21 Currently reading

Published
**1984**
by Courant Institute of Mathematical Sciences, New York University in New York
.

Written in English

**Edition Notes**

Series | Ultracomputer note -- 66 |

The Physical Object | |
---|---|

Pagination | 25 p. |

Number of Pages | 25 |

ID Numbers | |

Open Library | OL17980234M |

The principal computation that we consider is the parallel random-access machine (PRAM), in which it is assumed that each processor has random access in unit time to any cell of a global memory. This model permits the logical structure of parallel computation to be studied in a context divorced from issues of interprocessor communication. In this paper, we study the parallel execution of two fundamental search methods: backtrack search and branch-and-bound computation. We present universal randomized methods for parallelizing sequential backtracking search and branch-and-bound computation. These methods execute on message-.

We address this problem by introducing the notion of parallel homomorphic encryption (PHE)schemes, which are encryption schemes that support computation over encrypted data via evaluation algorithms that can be efficiently executed in parallel. We also consider delegated PHE schemes which, in addition, can hide the function being evaluated. Graph algorithms, parallel and distributed algorithms, cache-efficient algorithms, algorithmic game theory, sublinear time algorithms. Computational Complexity: Circuit lower bounds, communication complexity, hardness of approximation. Randomness in Computation. Randomized algorithms, pseudorandomness, expander graphs, error-correcting codes.

In this multicenter, parallel, randomized controlled trial, we evaluated once-daily supplementation with multiple micronutrients and DHA (i.e., multiple micronutrient supplementation, MMS) on maternal biomarkers and infant anthropometric parameters during the second and third trimesters of pregnancy compared with no supplementation. Written by an authority in the field, this book provides an introduction to the design and analysis of parallel algorithms. The emphasis is on the application of the PRAM (parallel random access machine) model of parallel computation, with all its variants, to algorithm analysis. Special attention is given to the selection of relevant data structures and to algorithm design principles that.

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Vishkin, U. (), Randomized speed-ups in parallel computation, in Proc. 16th Annual ACM Symposium on Theory of Computing, ACM Press, New York, Page Share Cite Suggested Citation: "10 Randomization in Parallel Algorithms.".

from book Fundamentals of Computation Theory: International Conference FCT '87 Kazan, USSR, June 22–26, Proceedings.

Randomized Speed-Ups in Parallel Computation. Vishkin, Randomized speed-ups in parallel computation, in: Proc. 16th ACM Symposium on Theory of Computation () [91 J.C. Wyllie, The complexity of parallel computation, Ph.D.

esis, Department of Computer Science, Cornell University, Ithaca, NY (). Cited by: Books about Vishkin: Randomized Speed-Ups in Parallel Computation (Classic Reprint) - by Uzi Vishkin; Finding Euler tours in parallel - by Mikhail Atallah and U Vishkin; Optimal parallel Randomized speed-ups in parallel computation.

book matching in strings - Jun 8, by Uzi Vishkin. Also, parallel pruning in a backtracking algorithm could make it possible for one process to avoid an unnecessary computation because of the prior work of another process. Amdahl’s Law Amdahl’s Law is a formula for estimating the maximum speedup from an algorithm that is part sequential and part parallel.

Buy Randomized Algorithms (Cambridge International Series on Parallel Computation) by Motwani, Rajeev, Raghavan, Prabhakar (ISBN: ) from Amazon's Book Store. Everyday low prices and free delivery on eligible s: 7. This paper assumes a parallel RAM (random access machine) model which allows both concurrent reads and concurrent writes of a global memory.

The main result is an optimal randomized parallel algorithm for INTEGER_SORT (i.e., for sorting n integers in the range $[1,n]$). This algorithm costs only logarithmic time and is the first known that is optimal: the product of its time and processor. Vishkin. Randomized speed-ups in parallel computation.

In Proc. 16th Annual ACM Symp. on Theory of Computing,I. Bar-On and U. Vishkin. Optimal parallel generation of a computation tree form. In Proc. 13th Annual International Conference on Parallel Processing,K. Mehlhorn and U. Vishkin. Part of the Lecture Notes in Computer Science book series (LNCS, volume ) Abstract.

In this paper we describe a simple parallel algorithm for list ranking. The algorithm is deterministic and runs in O(log n) time on EREW P-RAM with n/log n processor.

The algorithm matches the performance of the Cole-Vishkin [CV86a] algorithm but is simple. Randomized List Ranking – Randomly assign H / T to each compressible node – Compress H.

T links Randomized Speed-ups in Parallel Computation. Vishkin U. () ACM Symposium on Theory of Computation. Round 2: 15 nodes (64% savings).

Ultrafast Randomized Parallel Construction- and Approximation Algorithms for Spanning Forests in Dense Graphs. Advances in Randomized Parallel Computing, Randomized Speed-ups in Parallel Computation.

Vishkin U. () ACM Symposium on Theory of Computation. Round 4: 5 nodes (88% savings) Challenges – Nodes stored on different computers – Nodes can only access direct neighbors – No "Tournament Bracket" Randomized List Ranking – Randomly assign H / T to each.

Our main result is an optimal randomized parallel algorithm for INTEGER SORT (i.e., for sorting n integers in the range [1; n]).

Our algorithm costs only logarithmic time and is the first known that is optimal: the product of its time and processor bounds is upper bounded by a. Abstract. We present a new randomized parallel algorithm for term matching.

Let n be the number of nodes of the directed acyclic graphs (dags) representing the terms to be matched, then our algorithm uses O(log 2 n) parallel time and M(n) processors, where M(n) is the complexity of n by n matrix multiplication.

The number of processors is a significant improvement over previously known. - Buy Randomized Algorithms (Cambridge International Series on Parallel Computation) book online at best prices in India on Read Randomized Algorithms (Cambridge International Series on Parallel Computation) book reviews & author details and more at Free delivery on qualified s: 6.

This book constitutes the refereed proceedings of the 13th Annual International Symposium on Algorithms and Computation, ISAACheld in Vancouver, BC, Canada in November The 54 revised full papers presented together with 3 invited contributions were carefully reviewed and selected from close to submissions.

The papers cover all relevant topics in algorithmics and computation. Other examples of such parallel simple hybrid algorithms are: computation of the maximum of n elements in asymptotic optimal time Θ(log log n) on a CRCW PRAM with n log log n pro- cessors [ A randomized parallel branch-and-bound procedure.

In ~ Proceedings of the 20th Annual ACM Symposium on Theory of Computing. (Chicago, IlL, May ~), ACM, New York,pp. Randomized List Ranking – Randomly assign H / T to each compressible node – Compress H T links Performance – Compress all chains in log(S) rounds Randomized Speed-ups in Parallel Computation.

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This randomized, double-blind, placebo-controlled clinical trial included infants with constipation who were randomly assigned to one of two parallel groups: FOS or placebo. Either the FOS supplement or the placebo. We prove a trade-off between the amount of randomness used by an algorithm and its performance, measured by the time it requires to complete its computation with a given failure probability.

The trade-off provides a smooth bridge between the deterministic and randomized complexities of the problems.EDUCATION Year Degree Institution Ph.D. in Computer Science Harvard University (Advisor: John H. Reif) Thesis Title: Randomized Parallel Computation M.E in Automation Indian Institute of Science B.E.

in Electrical Technology Indian Institute of Science in Special Physics.Randomized Speed-ups in Parallel Computation. Vishkin U. () ACM Symposium on Theory of Computation. Round 3: 6 nodes (86% savings) Fast Path Compression Challenges –! Nodes stored on different computers –!

Nodes can only access direct neighbors Randomized List Ranking –! Randomly assign H / T to each.